MCP Server AIDD Documentation

Overview

MCP Server Skydeckai-code (for AI-Driven Development) is a comprehensive development environment that combines AI assistance with powerful development tools. This guide will help you understand its capabilities and get started with AI-driven development. Get this from MseeP a directory identifying MCP servers you can trust.

(Note that this MCP server was formerly named AIDD for AI Driven Development, but in the interests of clarity for new users it was renamed to Skydeckai-code to help users understand that it is a autonomous (Vibe) coding tool, and in particular one from Skydeck AI)

Frequently Asked Questions

What is AI-driven development and how does it differ from traditional coding?

AI-driven development uses artificial intelligence to automate coding tasks, analyze code patterns, and accelerate software development. Unlike traditional coding, developers collaborate with AI to write, test, and optimize code faster while maintaining quality standards through intelligent automation.

Is Skydeckai-code secure for enterprise software development projects?

Yes, Skydeckai-code implements strict security measures including file operation restrictions, permission-based access control, and secure execution environments. All AI coding activities are confined to designated directories, preventing unauthorized system access while maintaining development flexibility.

What programming languages does this AI coding platform support?

The platform supports Python, JavaScript, Ruby, PHP, Go, and Rust for direct code execution. Additionally, it provides comprehensive language analysis through tree-sitter, enabling AI to understand and work with virtually any programming language in your codebase.

How does Vibe coding enhance developer productivity?

Vibe coding combines AI assistance with natural development workflows, allowing developers to express intent conversationally while the AI handles implementation details. This approach reduces context switching, automates repetitive tasks, and enables developers to focus on architecture and business logic.

Can AI-driven development integrate with existing Git workflows?

Absolutely. Skydeckai-code provides full Git integration including repository initialization, staging, committing, branching, and diff viewing. The AI seamlessly works within your existing version control practices, enhancing rather than disrupting established development processes.

What are the system requirements for implementing AI coding tools?

You'll need Python 3.12+, the latest Node.js LTS version, and Git installed on a cross-platform compatible system. The AI development environment is designed to work with standard developer setups without requiring specialized hardware or complex configurations.

How does AI handle code quality and testing in software development?

The AI analyzes code structure, identifies patterns, and executes tests directly within the environment. It can run linters, perform code analysis, execute test suites, and suggest improvements based on best practices, maintaining high code quality standards automatically.

What makes Skydeckai-code different from other AI coding assistants?

Unlike simple code completion tools, Skydeckai-code provides a complete AI-driven development environment with file management, code execution, system integration, and browser automation. It's designed for autonomous coding tasks, not just suggestions or snippets.

Can startup teams without AI expertise use this platform effectively?

Yes, the platform is designed for developers of all AI experience levels. Its natural language interface and comprehensive documentation make it accessible to teams focused on building products rather than learning complex AI systems.

What ongoing support and updates are available for AI development tools?

Skydeckai-code provides regular feature updates, security patches, and performance improvements. Technical support is available at support@skydeck.ai, with professional services for enterprise implementations through East Agile's dedicated team.

Core Capabilities

1. File System Operations

// Read files
const content = await window.fs.readFile('path/to/file', { encoding: 'utf8' });

// Write files
await window.fs.writeFile('path/to/file', content);

// Create directories
await create_directory('new_project');

2. Code Analysis

Using tree-sitter, analyze code structure and relationships:

# Analyze repository structure
analysis = tree_sitter_map(path="./src")

# Results include:
- Function definitions
- Class hierarchies
- Module dependencies
- Code organization patterns

3. Multi-Language Code Execution

Execute code in various languages directly:

# Python
execute_code(
    language="python",
    code="""
    def hello():
        print("Hello from Python!")
    hello()
    """
)

# JavaScript, Ruby, PHP, Go, and Rust also supported

4. Git Integration

Full Git workflow support:

# Initialize repository
git_init(path="project_path")

# Stage and commit
git_add(repo_path="path", files=["file1.py", "file2.py"])
git_commit(repo_path="path", message="Initial commit")

# View changes
git_status(repo_path="path")
git_diff(repo_path="path", target="main")

5. System Integration

# Get system information
system_info = get_system_info()

# Send system notifications
sendNotification(
    title="Task Complete",
    message="Your build has finished"
)

6. Directory Management

# List directory contents
contents = list_directory("./src")

# Search for files
results = search_files(
    path="./src",
    pattern="*.py",
    exclude_patterns=[".git/*", "venv/*"]
)

# Get file information
info = get_file_info("path/to/file.py")

7. Shell Script Execution

execute_shell_script(
    script="""
    echo "Current directory:"
    pwd
    ls -la
    """
)

Advanced Features

1. Browser Automation

# Navigate to URLs
puppeteer_navigate(url="https://example.com")

# Take screenshots
puppeteer_screenshot(
    name="page.png",
    selector=".main-content"
)

# Interact with pages
puppeteer_click(selector="#submit-button")
puppeteer_fill(selector="#search", value="query")

2. External Services

# Maps integration
coordinates = maps_geocode(address="123 Main St")
places = maps_search_places(query="coffee shops")
route = maps_directions(
    origin="Start Point",
    destination="End Point",
    mode="driving"
)

# Brave search
results = brave_web_search(query="python development")
local = brave_local_search(query="restaurants near me")

3. Time Management

# Get current time
time = get_current_time(timezone="America/New_York")

# Convert between timezones
converted = convert_time(
    source_timezone="America/New_York",
    target_timezone="Asia/Tokyo",
    time="14:30"
)

Project Organization

Directory Structure

project/
├── src/           # Source code
├── tests/         # Test files
├── docs/          # Documentation
└── .git/          # Git repository

Best Practices

File Organization
- Use clear directory structures
- Keep related files together
- Follow language-specific conventions
Version Control
- Regular commits
- Clear commit messages
- Feature branches
Code Analysis
- Regular code structure analysis
- Monitor dependencies
- Track code metrics

System Requirements

Operating System: Cross-platform support
Python: Version 3.12+
Node.js: Latest LTS version
Git: Latest stable version

Security

File operations restricted to allowed directories
Secure execution environment
Permission-based access control

Example Workflows

1. Setup New Project

# Create project structure
create_directory("new_project")
git_init(path="new_project")

# Add initial files
write_file(
    path="new_project/README.md",
    content="# New Project\n\nDescription here."
)

2. Code Analysis Workflow

# Analyze codebase
analysis = tree_sitter_map(path=".")

# Search for specific patterns
results = search_files(
    path=".",
    pattern="*.py"
)

# Get file details
for file in results:
    info = get_file_info(file)

3. Development Workflow

# Execute tests
execute_code(
    language="python",
    code="pytest tests/"
)

# Commit changes
git_add(repo_path=".", files=["modified_file.py"])
git_commit(repo_path=".", message="Update tests")

Support

Documentation

Detailed API reference
Example projects
Best practices guides

Contact

Technical Support: support@skydeck.ai
Professional Services: services@eastagile.com

Updates and Maintenance

Regular feature updates
Security patches
Performance improvements

Skydeckai-code is a product of Skydeck.ai and East Agile, empowering developers with AI-driven development tools and workflows.